Evidence map›Paper›PMID 33078684›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2020

Testing the Effects of Modality and Narration Style on Patients' Information Use in a Lung Cancer Treatment Decision Aid.

Nida Gizem Yılmaz, Julia C M Van Weert, Ellen Peters, Birgit I Lissenberg-Witte, Annemarie Becker, Suresh Senan, Chris Dickhoff, Daniëlle R M Timmermans, Olga C Damman

Open access · hybridAbstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Nida Gizem YılmazDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-1228-1685
Julia C M Van WeertDepartment of Communication Science, Amsterdam School of Communication Research/ASCoR, University of Amsterdam. Amsterdam, The Netherlands.
Ellen PetersSchool of Journalism and Communication, University of Oregon, Eugene.
Birgit I Lissenberg-WitteDepartment of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Annemarie BeckerDepartment of Pulmonary Diseases, Amsterdam UMC, VU University Medical Center, Amsterdam, The Netherlands.
Suresh SenanDepartment of Radiation Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, North Holland, The Netherlands.
Chris DickhoffDepartment of Surgery and Cardiothoracic Surgery, Amsterdam UMC, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Daniëlle R M TimmermansDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-3602-3875
Olga C DammanDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4482-5042
Amsterdam University Medical Centers · NLAmsterdam UMC Location Vrije Universiteit Amsterdam · NLUniversity of Amsterdam · NLUniversity of Oregon · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk information in patient decision aids (PDAs) is often difficult for older patients to process. Providing audiovisual and narrative information may enhance the understanding and use of health-related information. We studied the effects on patients' information processing and use of audiovisual and narrative information of an early-stage non-small-cell lung cancer treatment decision aid explaining surgery and stereotactic ablative radiotherapy. We further investigated differences between older and younger patients.

methodsWe conducted a 2 (modality: textual v. audiovisual) × 2 (narration style: factual v. narrative) online experiment among cancer patients and survivors (

resultsIrrespective of patient age, audiovisual information (compared with textual information) led to lower perceived cognitive load, higher satisfaction with information, and lower decisional conflict (subscale Effective Decision). Narrative information (compared with factual information) led to reduced decisional conflict (subscale Uncertainty) but only in younger patients. Combining audiovisual information with factual information also resulted in lower perceived cognitive load in younger patients as compared with older patients. LIMITATIONS: Patients who actually face the decision, especially older patients, might be more motivated to process our decision-aid information than the present study participants who responded to a hypothetical situation online.

conclusionsProviding participants with audiovisual information, irrespective of their age, improved their processing and use of information in a decision aid. Narratives did not clearly benefit information processing.

Indexed as

Decision Support TechniquesInformation Seeking BehaviorAdultAgedAged, 80 and overElectronic Data ProcessingFemaleHumansLung NeoplasmsMaleMiddle AgedSurveys and Questionnairesaudiovisual informationinformation processinglung cancermodalitynarration stylenarrative informationnon-small cellolder patientspatient decision aids

Identifiers

PMID33078684
PMCPMC7675778
OpenAlexW3093209408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.